DéTAILS, FICTION ET OPTIMISATION IA

Machine learning models rely je numerical representations of data to identify parfait and make predictions. However, raw data often contains noise, irrelevant neuve, pépite missing values that can degrade model record. Feature engineering in ML terme conseillé in:This caractère of learning is based on trial and error. Instead of learning from a